Genetic and Evolutionary Computation Medical

There is rapidly increasing interest in applying evolutionary computation to problems in medicine, but to date no existing text that introduces evolutionary computation in a medical context. By explaining the basic underlying theory, typical application areas and detailed implementations in one coherent volume, this book will benefit a wide audience from computer scientists to medics. Explores the rapidly growing area of genetic and evolutionary computation in context of its viable and exciting payoffs in the field of medical applications. Explains the underlying theory, typical applications and detailed implementation Includes sections on the applications of GEC to medicine; medical imaging; analysis of medical data sets; advanced modelling; diagnosis and treatment; and the future for GEC in medicine. Features a wide range of tables, illustrations diagrams and photographs.

Stephen Smith, Department of Electronics, University of York, UK
Stephen Smith is a senior lecturer within the Department of Electronics at the University of York. His research interests include evolutionary algorithms and assisted clinical diagnosis. He is co-organiser of the annual GECCO (Genetic and Evolutionary Computation Conference), and co-workshop organiser for the Medical Applications of Genetic and Evolutionary Computation Workshop. His editorial experience includes current service as subject area editor for the Journal of Systems Architecture and guest editor for a special issue of the BioSystems journal.

Stefano Cagnoni, Università degli Studi di Parma, Italy
Stefano Cagnoni is an associate professor in the department of computer engineering at the University of Parma. His research interests are in the fields of computer vision, robotics, evolutionary computation and neural networks. He is secretary of the Italian Association for Artificial Intelligence and Co-chairman of EvoIASP, the EvoNet working group on applications of Evolutionary Computation to Image and Signal Processing. He is co-editor of Genetic and Evolutionary Computation for Image Processing and Analysis, soon to publish with Hindawi Press.

About the Editors
List of Contributors
Introduction
Evolutionary Computation: A Brief Overview
A Review of Medical Applications of Genetic and Evolutionary Computation
Applications of GEC in Medical Imaging
Evolutionary Deformable Models for Medical Image Segmentation
Feature Selection for the Classification of Microcalcifications in Digital Mammograms using Genetic Algorithms, Sequential Search and Class Separability
Hybrid Detection of Features within the Retinal Fundus using a Genetic Algorithm
New Analysis of Medical Data Sets using GEC
Genetic Programming for Exploring Medical Data using Visual Spaces
An Interactive Search for Rules in Medical Data Using Multiobjective Evolutionary Algorithms
Analysis of Mammography Reports using Maximum Variation Sampling
Advanced Modelling, Diagnosis and Treatment using GEC
Towards an Alternative to Magnetic Resonance Imaging for Vocal Tract Shape Measurement using the Principles of Evolution
The Objective Assessment of Visuo-spatial Ability using Implicit Context Representation Cartesian Genetic Programming
How Genetic Algorithms can improve Pacemaker Efficiency
The Future for Genetic and Evolutionary Computation in Medicine: Opportunities, Challenges and Rewards
Appendix. Introductory Books and Useful Links
Table of Contents provided by Publisher. All Rights Reserved.

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Genetic and Evolutionary Computation Medical Applications

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